Seungryul Baek

Computer Vision and Pattern Recognition · 2 papers · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 381 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 90 citations into it; #9,359 of 21,575 by trust here, #9,435 by citations
• Human-Computer Interaction — 41 citations into it; #646 of 2,253 by trust here, #534 by citations
• Artificial Intelligence — 37 citations into it; #21,621 of 35,345 by trust here, #32,362 by citations
• Biomedical Engineering — 27 citations into it
• Control and Systems Engineering — 20 citations into it; #4,588 of 8,257 by trust here, #1,875 by citations
• 3D Vision & Pose — 18 citations into it
• Model Architectures — 7 citations into it

Whom Seungryul Baek trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Hossein Rahmani
2. Leo Breiman
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Victoria Bloom
7. Alex Krizhevsky
8. Jitendra Malik
9. Kaiming He
10. Jamie Shotton

Who trusts Seungryul Baek overall

1. Jun Liu
2. Amir Shahroudy
3. G. Wang
4. Guillermo Garcia-Hernando
5. Bugra Tekin
6. Ling-yu Duan
7. Tae-Kyun Kim
8. Zhiyuan Shi
9. Hichem Sahbi

Papers from Seungryul Baek's perspective

Ordered by how strongly the researchers Seungryul Baek trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations (2017) — 563 citations
• Real-Time Online Action Detection Forests Using Spatio-Temporal Contexts (2016) — 24 citations